Senior Business Analytics Analyst

GoDaddy • British Columbia, Canada, BC

1d • CA$111,000 - CA$167,000 • Remote

About The Position

GoDaddy is seeking a Senior Business Analytics Analyst to own and evolve their Care demand forecasting model. This model is crucial for workforce planning, capacity decisions, and financial forecasting. The role requires a blend of strong SQL and R expertise, advanced forecasting knowledge, and the ability to translate complex data into clear, executive-ready insights. The analyst will collaborate with leaders across Operations, Analytics, Finance, Workforce Management, and Care to ensure the model's accuracy, scalability, and alignment with business needs. This is a remote position, with occasional office visits for team events or meetings.

Requirements

• 7+ years of experience in analytics, forecasting, or a related quantitative field, including 3+ years of hands-on experience building, maintaining, and improving demand forecasting or predictive models in a business setting.
• Advanced proficiency in SQL, including query optimization, complex joins, window functions, and stored procedures.
• Strong proficiency in R, or similar, for statistical modeling, forecasting, automation, production-ready analytical workflows, and using AI tools to accelerate model development.
• Demonstrated experience with time series forecasting methods such as ARIMA, SARIMA, exponential smoothing, and regression-based approaches, with the ability to apply those methods to workforce planning, capacity management, or financial forecasting.
• Strong executive communication, stakeholder partnership, and project management skills, including the ability to present complex forecast outputs to senior leaders, influence strategic decisions, and lead multiple high-priority projects in ambiguous environments.
• Experience working in or directly supporting a customer care, contact center, or workforce management environment, with familiarity translating operational metrics into forecast assumptions and planning recommendations.

Nice To Haves

• Bachelor's/Master’s degree in Statistics, Mathematics, Economics, Finance, or a related quantitative field.
• Experience applying forecasting, analytics, automation, or AI-enabled workflows in a customer care, contact center, workforce management, or similarly operational environment.

Responsibilities

• Serve as an owner of GoDaddy's Care demand forecasting model — maintaining accuracy, implementing improvements, and ensuring the model evolves alongside changing business conditions and priorities.
• Find opportunities to improve forecast methodology, incorporate new data sources, and apply advanced statistical and machine learning techniques to increase model precision and reliability.
• Convert complex model outputs into clear, compelling narratives for senior and executive leadership — ensuring forecast results are understood, trusted, and acted upon across the organization.
• Develop and maintain the reporting and data infrastructure that supports the forecast model, ensuring scalability, accuracy, and accessibility for all internal team members.
• Develop and deploy predictive models, statistical forecasts, and data-driven solutions that address high-priority business questions across the Care organization.
• Collaborate with finance, workforce management, operations, and Care leadership to align forecast assumptions, communicate model updates, and incorporate business context into forecast inputs.
• Establish and champion standard processes for forecasting methodology, model documentation, and analytical rigor across the analytics function.
• Serve as the internal subject matter expert on demand forecasting — sharing knowledge, documenting methodology, and helping team members understand and apply forecast outputs effectively.
• Proactively surface insights from forecast data that find opportunities for cost reduction, capacity optimization, or revenue growth.
• Lead the integration of AI tools and platforms into the forecasting workflow, setting the standard for how the team uses AI to accelerate model development and improve forecast quality.

Benefits

• competitive pay
• generous time off
• parental leave
• healthcare
• retirement savings program
• health, dental, and vision insurance
• life insurance
• critical illness
• AD&D
• health care spending account
• employee assistance program
• paid sick time
• paid personal time
• paid parental leave
• remote work options
• paid holidays
• paid Wellness days
• employee stock purchase plan
• discretionary cash bonus scheme that pays 15% of base salary based on individual and company performance

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree